Staff Data Engineer

About the role

As a Staff Data Engineer at Iterable you will design and build reliable data pipelines that power customer‑facing data movement, analytics products, and machine‑learning foundations. You will lead high‑impact projects, make technical decisions in ambiguous environments, and collaborate across engineering, product, infrastructure, and data‑science teams.

Key responsibilities

• Own the architecture and end‑to‑end delivery of next‑generation data ingestion and activation workflows, including source connectors, staging, transformation, diffing, and incremental sync logic.
• Define and apply high‑availability, fault‑tolerance, and recovery patterns such as retries, replayability, backfills, idempotency, and durable workflow execution.
• Lead design of Snowflake‑based pipelines and data‑sharing workflows to improve freshness, correctness, scalability, and operability for analytics and customer‑facing data.
• Establish technical standards for schema evolution, data quality, observability, testing, and lifecycle management.
• Partner with data‑science and ML engineers to build robust infrastructure for feature generation, serving, model inputs, and experimentation.

Required profile

• 8+ years of experience in data engineering, software engineering, or related platform roles.
• Deep experience designing, operating, and scaling production ETL/ELT pipelines and data platforms.
• Strong proficiency in Python and SQL, plus familiarity with Scala or Java.
• Experience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, AWS, Kafka or Pulsar.
• Proven ability to own ambiguous, high‑impact initiatives from definition through operational maturity.

Required skills

• Python
• SQL
• Scala or Java
• Snowflake
• Databricks
• Amazon S3
• PostgreSQL
• Redis
• AWS
• Kafka
• Pulsar
• Apache Spark
• Terraform
• Docker
• Kubernetes
• ETL/ELT orchestration tools

What we offer

• Competitive salary (€82,500 – €108,000 gross per year) and meaningful equity.
• Private medical insurance and life/risk assurance.
• Meal allowance, community days, paid annual leave (22 days), global lifestyle reimbursement, paid sabbatical.
• Complete laptop workstation and remote‑work flexibility.